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Release prep v3.8.1
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‎doc/api/next_api_changes/behavior/27179-KS.rst

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‎doc/api/next_api_changes/deprecations/27088-JK.rst

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‎doc/api/next_api_changes/development/26849-KS.rst

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‎doc/api/prev_api_changes/api_changes_3.8.1.rst

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API Changes for 3.6.1
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=====================
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Behaviour
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---------
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Default behaviour of ``hexbin`` with *C* provided requires at least 1 point
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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The behaviour changed in 3.8.0 to be inclusive of *mincnt*. However, that resulted in
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errors or warnings with some reduction functions, so now the default is to require at
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least 1 point to call the reduction function. This effectively restores the default
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behaviour to match that of Matplotlib 3.7 and before.
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Deprecations
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------------
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Deprecations removed in ``contour``
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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``contour.allsegs``, ``contour.allkinds``, and ``contour.find_nearest_contour`` are no
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longer marked for deprecation.
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Development
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-----------
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Minimum version of setuptools bumped to 64
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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To comply with requirements of ``setuptools_scm``, the minimum version of ``setuptools``
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has been increased from 42 to 64.

‎doc/users/github_stats.rst

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‎doc/users/prev_whats_new/github_stats_3.8.0.rst

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‎doc/users/release_notes.rst

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:maxdepth: 1
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2020
prev_whats_new/whats_new_3.8.0.rst
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../api/prev_api_changes/api_changes_3.8.1.rst
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../api/prev_api_changes/api_changes_3.8.0.rst
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github_stats.rst
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prev_whats_new/github_stats_3.8.0.rst
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Version 3.7
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^^^^^^^^^^^

‎galleries/tutorials/images.py

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# commands together in one cell. plt commands will not change plots from earlier
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# cells.
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#
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# There are many other colormap schemes available. See the `list and
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# images of the colormaps
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# <../colors/colormaps.html>`_.
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# There are many other colormap schemes available. See the :ref:`list and images
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# of the colormaps<colormaps>`.
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#
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# .. _`Color Bars`:
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#

‎galleries/users_explain/quick_start.py

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# to provide the ``data`` keyword argument and generate plots passing the
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# strings corresponding to the *x* and *y* variables.
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#
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# .. _structured numpy array: <https://numpy.org/doc/stable/user/basics.rec.html#structured-arrays>`_ # noqa: E501
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# .. _structured numpy array: https://numpy.org/doc/stable/user/basics.rec.html#structured-arrays # noqa: E501
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np.random.seed(19680801) # seed the random number generator.
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data = {'a': np.arange(50),

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